Ming Sun (孙明) received the B.S. degree in Computer Science and Technology from Heilongjiang University, Harbin, China, in 2004, the M.S. degree in Computer Application Technology from Harbin University of Commerce, Harbin, in 2007, and the Ph.D. degree in Navigation, Guidance and Control from Harbin Engineering University, Harbin, in 2010, and worked as a visiting scholar in the Department of Electrical and Computer Engineering, Baylor University, Waco, TX, USA in 2015.
He is a professor in College of Computer and Control Engineering, Qiqihar University, Qiqihar, Heilongjiang, China. His current research interests include deep learning, computational intelligence, and optimization.
Personal E-mail：snogisunming@163.com; 02513@qqhru.edu.cn
Research papers:
[1]孙明(Ming Sun)，王淑梅，郭媛，曹伟，徐耀群. 基于深度无监督学习的多小区蜂窝网资源分配方法。控制与决策，2022,37（09）：2333-2342.
[2]Ming Sun, Yujing Hunag, Shumei Wang and Yaoqun Xu. Novel Bee Colony Optimization with Update Quantities for OFDMA Resource Allocation. Wireless communications and Mobile Computing, 2021, 8891020, 2021.
[3]Ming Sun, Liangjin Hu, Yanchun Wang, Hui Zhang, Jiaqiu Wang. Deep Reinforcement Learning for Resource Allocation in Multi-cell Cellular Networks. Lecture Notes on Data Engineering and Communications Technologies, vol. 107, 2022, 461-470.
[4]M. Sun, L. Hu, W. Cao, H. Zhang and S. Wang. Unsupervised Learning Neural-Network Method for Resource Allocation in Multi-cell Cellular Networks. 2021 International Conference on Intelligent Computing, Automation and Applications (ICAA), 2021, pp. 406-411.
[5]Bin Han, Hui Zhang, Ming Sun and Fengtong Wu. A New Bearing Fault Diagnosis Method Based on Capsule Network and Markov Transition Field/Gramian Angular Field. Sensors 2021, 21, 7762.
[6]Ming Sun, Kangle Zhai, Wei Cao, Ying Wang and Yaoqun Xu. Hybrid OFDMA Resource Allocation Scheme for Ensuring Required Level of Proportional Fairness. Mathematical Problems in Engineering, 2020, 5201545.
[7]孙明(Ming Sun), 曹伟, 李大辉, 马志晟。保证公平的最大化OFDMA系统容量策略。控制与决策，2020，35(5): 1175-1182.
[8]Ming Sun, Kwang Y. Lee, Yaoqun Xu and Wenlei Bai Hysteretic noisy chaotic neural networks for resource allocation in OFDMA system. IEEE Transactions on Neural Networks and Learning Systems, 2018, 29(2): 273-285 (SCI Top)
[9]Ming Sun, Yaoqun, Xuefeng Dai and Yuan Guo Noise-Tuning-Based Hysteretic Noisy Chaotic Neural Network for Broadcast Scheduling Problem in Wireless Multihop Networks [J]. IEEE Transactions on Neural Networks and Learning Systems, 2012, 23(12): 1905-1918.
[10]Ming Sun, Lin Zhao, Wei Cao, Yaoqun Xu, Xuefeng Dai, Xiaoxu Wang. Novel hysteretic noisy chaotic neural network for broadcast scheduling problem in packet radio network. IEEE Transactions on Neural Networks, 2010, 21(9): 1422-1433.
[11]Lin Zhao, Ming Sun, Yaoqun Xu and Jianhua Cheng A novel chaotic neural network with the ability to characterize local features and its application, IEEE Transactions on Neural Networks, 2009, 20(4): 735-742.